UBAID KUNDLIK

Motivated and detail-oriented AI/ML and Data Science enthusiast with a strong foundation in emerging technologies and a passion for solving real-

world problems. Winner of the IEEE UPTIQ AI Hackathon and finalist in the PCCOE MLSC Datathon, showcasing strong analytical and team

collaboration skills.

Adaptable and results-driven machine learning intern with a solid foundation in neural network optimization and deep learning. Committed to leveraging technical skills to drive impactful solutions in data analysis and predictive modeling.

Full Stack Web Development
IIT Roorkee
May 2023 – September 2023
Covered HTML, CSS, JavaScript, React.js, Node.js, MongoDB, and deployment practices.

• Data Science & Artificial Intelligence
  Imperial College of London
  December 2023 – October 2024
  Topics include Python for Data Science, Machine Learning, Deep Learning, NLP, and AI applications.
• Generative AI & Agentic AI
  University of Liverpool
  December , 2024 – Present
  Focused on LLMs, prompt engineering, generative models (like GANs, VAEs), and building AI agents.
  Hands-on with tools such as OpenAI GPT APIs, LangChain, and autonomous agent frameworks.

• 🏆 1st Place – IEE UPTIQ AI Hackathon
  Led a team to design and implement an innovative AI solution using ML and LLM-based models.
  Outperformed multiple teams by presenting a scalable and accurate AI-driven system.
  Recognized for creativity, technical depth, and real-world applicability.
• 🎯 Finalist – PCCOE MLSC Datathon
  Pimpri Chinchwad College of Engineering (PCCOE)
  Developed machine learning models for real-world data problems under strict time constraints.
  Among the top teams selected from 100+ participants.

IOT based Electricity Fault Detection

January 2025 - May 2025

Engineered an IoT-driven electricity fault detection system that pinpointed anomalies between transmission points and triggered automated

alerts to expedite incident response by authorities.

Mess Management System

January 2025 - April 2025

Engineered a digital mess management platform that dynamically showcased daily menus to students, empowering informed dining choices

while enabling mess owners to efficiently update offerings and engage with customers.

High Tech Shopping Cart using Object Detection and Human Following Technology

December 2023 - March 2024

Engineered an advanced shopping cart utilizing object detection and human following technology, automating the billing process and enhancing

the in-store customer experience through seamless, hands-free checkout.